Information Resource Group (IRG) is a reputable organization renowned for its proficiency in IT and business solutions, facilitating the seamless integration of technology across various industries. As a Data Analyst at IRG, located in Jackson, MS, you will be an integral part of the Data Management Team (DMT). The role entails participating in data migration and design activities for replacing a legacy case management system with a new cloud-based solution, alongside implementing a cloud-based data stack to enhance analytics capabilities. You will collaborate closely with the lead architect, focusing on data profiling, entity relationship diagramming, and data mapping. If you are equipped with the required skills in ETL design, data quality, and analytics projects, this guide will help you navigate the interview process and provide insights into preparing for your role at IRG.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Information Resource Group as a data analyst. Whether you were contacted by a recruiter from Information Resource Group or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Talent Acquisition Team at Information Resource Group will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the hiring manager may stay present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the data analyst role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around data systems, ETL pipelines, and SQL queries.

In the case of data analyst roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. Apart from these, your proficiency against hypothesis testing, probability distributions, and machine learning fundamentals may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the Information Resource Group office. Your technical prowess, including programming and data modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the data analyst role at Information Resource Group.

Quick Tips For Information Resource Group Data Analyst Interviews

• Understand Data Management Processes: Familiarize yourself with data profiling, data quality diagnostics, and the common tools and technologies used in ETL design and development. These are crucial aspects of the job role.
• Master Data Modeling: Brush up on your skills related to Entity Relationship Diagramming, business vocabulary, data dictionary, and semantic models. Being able to proficiently map specifications from legacy databases to new systems is key.
• Showcase Cloud-Based Tools Expertise: Since the role includes implementation of cloud-based data stacks, demonstrating your experience with cloud platforms and tools will give you an edge over other candidates.

Typically, interviews at Information Resource Group vary by role and team, but commonly Data Analyst interviews follow a fairly standardized process across these question topics.

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Create a function to find the maximum number in a list of integers. Given a list of integers, write a function that returns the maximum number in the list. If the list is empty, return None.

• Create a function convert_to_bst to convert a sorted list into a balanced binary tree. Given a sorted list, create a function convert_to_bst that converts the list into a balanced binary tree. The output binary tree should be balanced, meaning the height difference between the left and right subtree of all the nodes should be at most one.

• Write a function to simulate drawing balls from a jar. Write a function to simulate drawing balls from a jar. The colors of the balls are stored in a list named jar, with corresponding counts of the balls stored in the same index in a list called n_balls.

• Develop a function can_shift to determine if one string can be shifted to become another. Given two strings A and B, write a function can_shift to return whether or not A can be shifted some number of places to get B.

• What are the drawbacks of having student test scores organized in the given layouts? Assume you have data on student test scores in two different layouts. Identify the drawbacks of these layouts and suggest formatting changes to make the data more useful for analysis. Additionally, describe common problems seen in "messy" datasets.

• How would you locate a mouse in a 4x4 grid using the fewest scans? You have a 4x4 grid with a mouse trapped in one of the cells. You can scan subsets of cells to know if the mouse is within that subset. How would you determine the mouse's location using the fewest number of scans?

• How would you select Dashers for Doordash deliveries in NYC and Charlotte? Doordash is launching delivery services in New York City and Charlotte. How would you decide which Dashers to select for these deliveries? Would the selection criteria be the same for both cities?

• What factors could bias Jetco's study on boarding times? Jetco, a new airline, had a study showing it has the fastest average boarding times. What factors could have biased this result, and what would you investigate?

• How would you design an A/B test to evaluate a pricing increase for a B2B SAAS company? You work at a B2B SAAS company interested in testing different subscription pricing levels. Your project manager asks you to run a two-week A/B test to evaluate a pricing increase. How would you design this test and determine if the pricing increase is a good business decision?

• How much should we budget for a $5 coupon initiative in a ride-sharing app? A ride-sharing app has a probability (p) of dispensing a $5 coupon to a rider and services (N) riders. Calculate the total budget needed for the coupon initiative.

• What is the probability of both or only one rider getting a coupon? A driver using the app picks up two passengers. Determine the probability of both riders getting the coupon and the probability that only one of them will get the coupon.

• What is a confidence interval for a statistic and why is it useful? Explain what a confidence interval is, why it is useful to know the confidence interval for a statistic, and how to calculate it.

• What is the probability that item X would be found on Amazon's website? Amazon has a warehouse system where items are located at different distribution centers. Given the probabilities that item X is available at warehouse A (0.6) and warehouse B (0.8), calculate the probability that item X would be found on Amazon's website.

• Is a coin that comes up tails 8 times out of 10 fair? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if this coin is fair.

• What are time series models and why are they needed? Describe what time series models are and explain why they are necessary when less complicated regression models are available.

• How would you explain linear regression to a child, a first-year college student, and a seasoned mathematician? Explain the concept of linear regression to three different audiences: a child, a first-year college student, and a seasoned mathematician, tailoring your explanations to their understanding levels.

• How would you evaluate the suitability and performance of a decision tree model for predicting loan repayment? As a data scientist at a bank, determine if a decision tree algorithm is appropriate for predicting loan repayment. Evaluate the model's performance before and after deployment.

• How would you justify using a neural network model and explain its predictions to non-technical stakeholders? If tasked with building a neural network model to solve a business problem, justify its complexity and explain the predictions to non-technical stakeholders.

• How does random forest generate the forest, and why use it over logistic regression? Explain the process of how random forest generates its forest and discuss why it might be preferred over logistic regression.

• What are the key differences between classification models and regression models? Identify and explain the main differences between classification models and regression models.

What is the average salary for a Data Analyst at Information Resource Group?

Q: What are the main responsibilities of a Data Analyst at Information Resource Group?

A: As a Data Analyst at Information Resource Group, you will participate in data migration and design activities, develop and implement cloud-based data stacks, and handle data profiling, cleansing, and transformation. Key tasks include creating entity relationship diagrams, drafting data dictionaries, and conducting data quality diagnostics.

Q: What specific skills are required for this Data Analyst position?

A: You should have at least four years of experience with multidimensional model database design, ETL processes, data quality and master data management integration, and database schema mapping. Additionally, proficiency in cloud-based data stack tools and excellent communication skills are essential.

Q: Is remote work an option for this position?

A: This role is primarily based in Jackson, MS, and requires the candidate to be onsite for one full week per month. The rest of the time, remote work may be an option, but this should be confirmed during the hiring process.

Q: Who will I be reporting to and what team will I be a part of?

A: You will be a contributing member of the Data Management Team (DMT) and report to the lead architect. The team focuses on replacing legacy case management systems with new cloud-based solutions and implementing analytics capabilities.

Q: What are some preferred qualifications for this position?

A: While not mandatory, experience in child welfare data modeling, case management, and analytics is highly preferred. Strong communication skills and the ability to build productive rapport with team members are also valuable.

If you're ready to dive into the heart of data migration, design, and analytics, the Data Analyst role at Information Resource Group in Jackson, MS, is the perfect opportunity. This position offers a dynamic environment where you will collaborate closely with the Data Management Team and contribute to mission-critical projects involving cloud-based solutions and legacy system replacements. To excel in this role, you need a robust skill set in multidimensional modeling, ETL design, data quality management, and cloud-based tools.

For more insights about the company, check out our main Information Resource Group Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about Information Resource Group's interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every Information Resource Group interview question and challenge.

You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!